SCORE

Compliance Technology
That Understands Behavior

We use pattern recognition based on machine learning to identify behaviors that pose the greatest regulatory risk to each firm. Our detection system trains itself to recognize high-risk activity from actual regulatory cases and investigations.

This self-adaptive methodology allows Neurensic to learn as it becomes exposed to new data. In this way, the system improves its accuracy even as markets and regulatory trends evolve over time.

Most importantly, our tools provide the entire industry with a unified standard that allows organizations to be proactive with their surveillance strategy.

Neurensic uses artificial intelligence to recognize patterns of trading that are similar to regulatory inquiries and investigations.

Cluster

The system aggregates order message data into “clusters” of related intent. This makes it easy to understand overall trader behavior, rather than sorting through individual order actions.

Score

We generate a “risk score” for each cluster, that represents the similarity of new activity to known activity that has drawn negative regulatory attention in the past.

Visualize

At the cluster level, it becomes easy to visualize the overall compliance risk of any cross-section of a firm, including trader, product, or sales group. Our toolset lets users prioritize the most significant threats to their organization so they can take corrective action.